Computer Science, Data Structures & Algorithms, rogramming Education

Structura Mastering Data Structures Through 450 Concept-Based MCQs

AUTHOR:
Ranjan Banerjee, Debmalya Mukherjee, Kaushik Paul, Shankar Prasad Mitra, Shouvik Datta
DATE ISSUED:
Jul 2026
SUBJECT:
Data Structures, Algorithms, MCQs, Computer Science, Data Structure MCQs, Algorithm Analysis, Time Complexity, Space Complexity
JEL CODE:
COM051230,COM051010,COM051370,EDU029000
LANGUAGE:
English
ISBN:
978-81-688698-8-2
80570

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Description

Structura: Mastering Data Structures Through 450 Concept-Based MCQs is a comprehensive practice and revision guide crafted to help students develop a strong conceptual understanding of one of the most fundamental subjects in computer science. Designed with a focus on analytical thinking rather than memorization, the book presents 450 carefully curated multiple-choice questions, each supported by the correct answer and a detailed explanation that reinforces the underlying concept. The questions progress from foundational principles to advanced problem-solving scenarios, enabling readers to strengthen their reasoning skills while preparing for university examinations, competitive tests, technical interviews, and campus placements. Each chapter is organized to encourage systematic learning and continuous self-assessment. Key topics covered include: Introduction to Data Structures and Algorithm Analysis Time and Space Complexity Recursion and Mathematical Foundations Arrays and Strings Linked Lists Stacks and Their Applications Queues, Circular Queues, and Deques Trees and Binary Trees Binary Search Trees AVL Trees and Self-Balancing Trees Heaps and Priority Queues Hash Tables and Collision Resolution Techniques Graphs and Graph Traversal Algorithms Searching and Sorting Algorithms Divide-and-Conquer Techniques Greedy Algorithms Dynamic Programming Fundamentals Advanced Data Structures Practical Problem-Solving and Real-World Applications Every explanation is written to clarify not only what the correct answer is, but also why it is correct, helping readers build a deeper understanding of data organization, algorithmic efficiency, and computational thinking.

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